I am a results-driven data consultant who has a strong foundation in computer engineering and extensive experience in data analysis, statistical modeling, and machine learning. I focus on public health projects and KPI monitoring, translating complex data sets into actionable insights and building data pipelines. I am proficient in Python, SQL, and Tableau, and I aim to leverage my expertise to drive data-driven decision-making as a data scientist. I have hands-on experience translating business problems into analytical solutions and communicating findings to both technical and non-technical audiences.…

Alidu Okpanachi

I am a results-driven data consultant who has a strong foundation in computer engineering and extensive experience in data analysis, statistical modeling, and machine learning. I focus on public health projects and KPI monitoring, translating complex data sets into actionable insights and building data pipelines. I am proficient in Python, SQL, and Tableau, and I aim to leverage my expertise to drive data-driven decision-making as a data scientist. I have hands-on experience translating business problems into analytical solutions and communicating findings to both technical and non-technical audiences.…

Available to hire

I am a results-driven data consultant who has a strong foundation in computer engineering and extensive experience in data analysis, statistical modeling, and machine learning. I focus on public health projects and KPI monitoring, translating complex data sets into actionable insights and building data pipelines.
I am proficient in Python, SQL, and Tableau, and I aim to leverage my expertise to drive data-driven decision-making as a data scientist. I have hands-on experience translating business problems into analytical solutions and communicating findings to both technical and non-technical audiences.

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Language

English
Fluent

Work Experience

Finance Intern at NYSC, Nigeria Centre for Disease Control (NCDC)
January 1, 2022 - October 17, 2025
Cleaned donor financial data using Excel and Python. Introduced automated reporting accuracy checks.
Data Analyst (Freelance) at Abuja, Nigeria
October 2, 2024 - October 17, 2025
Cleaned and standardized large datasets, ensuring accuracy and integrity by removing duplicates, correcting inconsistencies, and handling missing values. Coordinated stakeholder communications, supported client meetings, and managed project deliverables using structured timelines. Collaborated cross-functionally with internal teams to gather data requirements and ensure data infrastructure alignment with analytical needs.
Data Analyst (Freelance) at GitHub Projects & Fiverr Gigs
January 1, 2024 - Present
Built analytics dashboards for SMEs. Automated Power BI and Excel reports (30% time saved).

Education

HND in Accounting at Federal Polytechnic Idah, Kogi State
August 1, 2016 - October 1, 2021
Diploma at NIIT Campus Technologies Ltd, Abuja
January 1, 2025 - October 17, 2025
Introduction to Data Analysis using Microsoft Excel at Coursera / NIIT Abuja
January 1, 2023 - October 17, 2025
Coursera: Network Business Analytics and Process Management at Coursera
January 1, 2024 - October 17, 2025

Qualifications

Diploma in NIIT Campus Technologies Ltd
January 1, 2025 - October 17, 2025
Introduction to Data Analysis using Microsoft Excel
January 1, 2023 - October 17, 2025
Coursera: Network Business Analytics and Process Management
January 1, 2024 - October 17, 2025

Industry Experience

Healthcare, Education, Non-Profit Organization, Professional Services
    paper Brand Preference Survey Analysis

    This project analyzes customer survey data to uncover insights into brand preferences, satisfaction levels, and purchase intent across multiple demographics.

    Objective:
    To identify the key factors influencing customer brand choice and help businesses improve marketing and product strategies.

    Key Steps:

    • Collected and cleaned survey data using Python (Pandas, NumPy)
    • Conducted exploratory data analysis (EDA) to identify patterns and correlations
    • Visualized insights using Matplotlib and Seaborn for age, gender, and brand preferences
    • Calculated descriptive statistics to measure customer satisfaction and loyalty trends
    • Created a summary report highlighting actionable marketing recommendations

    Results:

    • Revealed top three brands preferred by over 65% of respondents
    • Identified demographic factors driving purchasing behavior
    • Supported data-driven decisions for targeted marketing strategies

    Tools & Technologies:
    Python, Pandas, Matplotlib, Seaborn, Excel

    Project Link:
    [View on GitHub](https://www.twine.net/signin

    paper Customer Segmentation
    Built a predictive model to estimate housing prices based on property attributes such as size, location, and number of rooms. Key Steps: Performed data cleaning and feature engineering Built a Linear Regression model using Scikit-learn Evaluated model performance using Mean Squared Error (MSE) and R² Score Created Power BI visuals to explain feature impact on pricing Results: Achieved an R² score of 0.89, providing accurate and explainable price predictions. Tools & Technologies: Python, Pandas, Scikit-learn, Power BI…
    paper Customer Segmentation Using Machine Learning

    In this project, I used unsupervised machine learning (K-Means clustering) to segment customers based on demographic and behavioral data.
    The goal was to help the business identify distinct customer groups and tailor marketing strategies accordingly.

    Key Steps:

    Cleaned and standardized customer data using Python (Pandas & NumPy)

    Applied K-Means clustering and determined optimal cluster count using the Elbow Method

    Visualized clusters using Matplotlib and Seaborn

    Built an interactive Power BI dashboard showing key customer segments

    Results:
    Improved targeting accuracy and marketing efficiency by identifying top-value customer clusters.

    Tools & Technologies:
    Python, Scikit-learn, Power BI, Excel

    Project Link: https://www.twine.net/signin